Data logging is the process of collecting and storing data over a period of time in different systems or environments, regardless of the method used. It involves tracking a variety of events and interactions through which data, files or applications are stored, accessed or modified on a storage device.
Data logging is generally associated with devices. However, even noting down the temperature daily at a set time from a thermometer is also a primary way to log data.
Majority of the data loggers are designed to track very specific types of information. One example is in the supply chain, where it can be used to collect information regarding the transport and shipping environment. This information can be used to audit the supply chain processes and identify inefficient activities and environments.
How does a data logger work?
A data logger is an electronic device which automatically monitors and records environmental parameters over time, allowing conditions to be measured, documented, analysed and validated. This electronic device is generally battery powered, but some can be connected to external power. The data logger consists of three components – a microprocessor, memory and sensor(s).
The sensor gathers and records the data from multiple sources. The microprocessor then performs basic measurement and logic tasks like adding, subtracting, transferring and comparing numbers. This data is stored within the memory unit and is transferred to a computer or cloud, securely for analysis. Once analysed, the data is visualised using a knowledge graph or chart.
At WeMakeIoT, we developed a wireless data logger that sends data at regular intervals via LoRaWAN protocol. The data logger device reads and saves temperature data at user defined intervals, and sends this data to a LoRaWAN gateway. We used Class A LoRaWAN communication and implemented low power mode in the STM32 to reduce the power consumption.
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